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Water resources are the most important guarantees for sustainable socioeconomic development in arid regions. However, serious water scarcity puts great pressure on the sustainable development of the northwest arid region of China. Based on the “matching-constraint” perspective, this study used the Gini coefficient, imbalance index, and growth drag model of water resources to quantify the spatiotemporal evolution of water resource utilization (WRU) and economic development (ED) in the northwest arid region from 2009 to 2019. The results showed the following: (1) The matching degree of WRU and ED in Gansu and Xinjiang from 2009 to 2019 was poorer than that in Ningxia, Shaanxi, and Qinghai. Cities with the high matching type of WRU and ED were dominant, with a proportion of 60.78%. (2) During the study period, the growth drag of water resources showed an “N-shaped” change of “rising–declining–rising” and a spatial pattern of “decreasing from inland to coastal” in the northwest arid region. The average growth drag coefficients for the five northwestern provinces were as follows: Xinjiang (2.22%), Gansu (1.61%), Ningxia (1.41%), Qinghai (1.01%), and Shaanxi (0.84%). The total percentage of low and medium constraint type cities was 74.51%. (3) Based on the urban “matching-constraint” types, the WRU status was divided into four zone types: Zones I and IV had relatively well-allocated water resources; however, zone IV had more significant water resource constraints, with the growth drag coefficient ranging from 1.10% to 2.30%. An imbalance between WRU and ED existed in Zones II and III; moreover, the water resource constraints of these two zones were also significant, with growth drag coefficients ranging from 0.12% to 1.47% and 1.03% to 2.90%, respectively. Additionally, we explored the driving mechanisms of WRU and sustainable ED in the northwest arid region. Policy recommendations are proposed for the optimal use of water resources, capital, and labor for different types of cities.

It is of great significance to study urban carbon metabolism and explore the low-carbon land use management framework from the perspective of “ecological-production-living” space, an important means for the government to strengthen spatial regulation. In the study, first of all, a carbon metabolism network model was established based on the evolution of the “ecological-production-living” space. Secondly, an ecological network analysis (ENA) method was used to identify the ecological relationships between land use types under the effect of carbon metabolism. In addition, ArcGIS software was used to visualize the spatial distribution of carbon flow and ecological relationships. Finally, a low-carbon oriented land use management framework was proposed based on the above research. Yulin, a typical coal resource-based city in China, was taken as a case study for verification. The results showed that Yulin had net carbon emissions from 2010 to 2020, indicating that the evolution of “ecological-production-living” space had a negative impact on the carbon metabolism. Industrial, mining and transportation land dominated carbon emissions, while forestland played an important role in carbon sequestration. Under the effect of carbon metabolism, a controlling and exploitative relationship was the main ecological relationship, and a mutualism relationship accounted for the smallest proportion, indicating that the urban ecological conflict was obvious in the evolution of the “ecological-production-living” space. Based on the above research, a land use management framework was proposed, which divided urban space into six types of control units. In conclusion, the results provided experience for other coal resource-based cities to promote low-carbon and sustainable land use.

Urban heat islands (UHIs) endanger the health of urban residents. Different urban growth patterns (UGPs) have different effects on heat islands. However, the dynamic relationship between UGP landscape information and urban surface heat island intensity (SUHII) remains unclear. This study explored the dynamic relationship between SUHII and UGP landscape information through spatial regression and landscape pattern analysis using Landsat imagery and urban construction land data from five cities in the Beijing–Tianjin–Hebei urban agglomeration from 2010 to 2018. The results show that SUHII increase areas overlap with expansion patches, and the edge expansion and outlying areas show a warming effect. The influence of the edge expansion landscape area and pattern on SUHII changes is greater than the other two growth patterns. The relationship between UGPs’ landscape information and SUHII changes varies among cities. The larger the city size, the stronger the influence of landscape information. Among the landscape patterns, the influence of the landscape area and pattern on SUHII change is large and the influence of landscape fragmentation is smaller. Exploring the dynamic relationship between UGP landscape information and SUHII is conducive to optimizing the spatial layout and pattern selection of urban development and providing a scientific reference for sustainable and livable urban development planning.